function varargout = test(varargin)
% TEST MATLAB code for test.fig
%      TEST, by itself, creates a new TEST or raises the existing
%      singleton*.
%
%      H = TEST returns the handle to a new TEST or the handle to
%      the existing singleton*.
%
%      TEST('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in TEST.M with the given input arguments.
%
%      TEST('Property','Value',...) creates a new TEST or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before test_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to test_OpeningFcn via varargin.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
%      instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES

% Edit the above text to modify the response to help test

% Last Modified by GUIDE v2.5 29-May-2022 08:24:02

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @test_OpeningFcn, ...
                   'gui_OutputFcn',  @test_OutputFcn, ...
                   'gui_LayoutFcn',  [] , ...
                   'gui_Callback',   []);
if nargin && ischar(varargin{1})
    gui_State.gui_Callback = str2func(varargin{1});
end

if nargout
    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
    gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT


% --- Executes just before test is made visible.
function test_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to test (see VARARGIN)

% Choose default command line output for test
handles.output = hObject;
% set(handles.SaltPepper,'Enable','off');
% Update handles structure
guidata(hObject, handles);

% UIWAIT makes test wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = test_OutputFcn(hObject, eventdata, handles) 
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Get default command line output from handles structure
%设置窗口标题
set( hObject, 'name', 'CHengYu_ImgHandle' ); % 其中的 hObject 替换成 gcf，效果依然成立
varargout{1} = handles.output;

% -----------------------按钮-----------------------------------------
% 图像文件读取
% --- Executes on button press in ImgRead.
function ImgRead_Callback(hObject, eventdata, handles)
global s;%定义全局变量，为了后面的还原保存数据
[filename,pathname,filterindex]=...
uigetfile({'*.*';'*.bmp';'*.tif';'*.png';'*.jpg';'*.jpeg'},'select picture');%选择图片格式
str=[pathname filename];%合成路径+文件名
s=str;
handles.i=imread(str);
handles.filebig=filterindex;
if filterindex==0
    msgbox('选择图像失败','error');
    return
else
    im=imread(str);%读取图片
end
axes(handles.axes1);%使用第一个axes
imshow(im);%显示图片
handles.img=im;
guidata(hObject,handles);

%。。。。。。。。。。添加噪声
% 椒盐噪声
% --- Executes on button press in SaltPepper.
function SaltPepper_Callback(hObject, eventdata, handles)
global T;
axes(handles.axes1);
imshow(handles.img);
T=handles.img;
mysize=size(handles.img);
if numel(mysize)<3
    msgbox('处理失败，请选择RGB图像','error');
    return;
else
    prompt={'输入椒盐噪声:'};
    defans={'0.02'};
    p=inputdlg(prompt,'input',1,defans);%prompt是提示语，input是对话框的标题，defans是默认值
    p1=str2num(p{1});
    f=imnoise(handles.img,'salt & pepper',p1);
end
axes(handles.axes2);
imshow(f);
handles.img=f;
guidata(hObject,handles);

% 高斯噪声
function gaussian_Callback(hObject, eventdata, handles)
handles.img = imnoise(handles.img,'gaussian');
axes(handles.axes2); 
cla; 
imshow(handles.img);
guidata(hObject,handles);

% 泊松噪声
function poisson_Callback(hObject, eventdata, handles)
handles.img = imnoise(handles.img,'poisson');
axes(handles.axes2); cla; imshow(handles.img);
guidata(hObject,handles);

% 乘性噪声
function speckle_Callback(hObject, eventdata, handles)
handles.img = imnoise(handles.img,'speckle',0.04);
axes(handles.axes2); cla; imshow(handles.img);
guidata(hObject,handles);


% 图像剪切
% --- Executes on button press in ImgShear.
function ImgShear_Callback(hObject, eventdata, handles)
global T;
T=handles.img;
if handles.filebig==0
    msgbox('处理失败，请选择图像','error');
    return;
else
    axes(handles.axes1);
    imshow(handles.img);
%     I=imcomplement(handles.img);
    I=imcrop(handles.img,[200 200 600 600]);
end
axes(handles.axes2);
imshow(I);
handles.img=I;
guidata(hObject,handles);

% 图像反色
% --- Executes on button press in ImgReverseColor.
function ImgReverseColor_Callback(hObject, eventdata, handles)
x=handles.img;
r=x(:,:,1); r=256-r;
g=x(:,:,2); g=256-g;
b=x(:,:,3); b=256-b;
handles.img=cat(3,r,g,b);
axes(handles.axes2);
cla; 
imshow(handles.img);
guidata(hObject,handles);


% 二值化
function Binarization_Callback(hObject, eventdata, handles)
thresh = graythresh(handles.img);     %自动确定二值化阈值
handles.img = im2bw(handles.img,thresh);
axes(handles.axes2);cla;imshow(handles.img);
guidata(hObject,handles);

% 图像存储
% --- Executes on button press in Imgwrite.
function Imgwrite_Callback(hObject, eventdata, handles)
% true false
if true
    % 另存为
    [filename,pathname]= uiputfile({'*.bmp';'*.tif';'*.png';'*.jpg';'*.jpeg'},'Save Image as');
    save=[pathname,filename]; imwrite(handles.img,save);
    msgbox("save success",'success');
    return;
else
    %覆盖原图
    if handles.img==0
        msgbox('没有可保存的图像','error');%弹窗提示
        return;
    else
        [filename,pathname,filterindex]=uigetfile({'*.bmp';'*.tif';'*.png';'*.jpg';'*.jpeg'},'save picture');%存储图片路径
    end
    if filterindex==0
        return;%如果取消操作，返回
    else
        str=[pathname,filename];%合成路径+文件名
        axes(handles.axes2);%使用第二个axes
        imwrite(handles.img,str);%写入图片信息，即保存图片
    end
end

% 退出系统
% --- Executes on button press in exit.
function exit_Callback(hObject, eventdata, handles)
clc
clear
close(gcf)%关闭界面

% 重置
function Reset_Callback(hObject, eventdata, handles)
handles.img=handles.i;%原图数据重新放入handles.img中
axes(handles.axes2); cla; imshow(handles.img);
% cla(handles.axes2);
guidata(hObject,handles);


% -----------------------边缘检测-----------------------------------------

%Canny算子
function Canny_Callback(hObject, eventdata, handles)
mysize=size(handles.img);
if numel(mysize)>2
    handles.img=rgb2gray(handles.img);
end
%edge,函数在检测到边缘的地方时为1其他的为0
handles.img=edge(handles.img,'canny');%canny算子边缘检测
axes(handles.axes2);
cla;% 清除当前坐标系
imshow(handles.img);
guidata(hObject,handles);

% Roberts算子
function Roberts_Callback(hObject, eventdata, handles)
mysize=size(handles.img);
if numel(mysize)>2
    handles.img=rgb2gray(handles.img);
end
%edge,函数在检测到边缘的地方时为1其他的为0
handles.img=edge(handles.img,'roberts');%roberts算子边缘检测
axes(handles.axes2);
cla;% 清除当前坐标系
imshow(handles.img);
guidata(hObject,handles);

% Sobel算子
function Sobel_Callback(hObject, eventdata, handles)
mysize=size(handles.img);
if numel(mysize)>2
    handles.img=rgb2gray(handles.img);
end
%edge,函数在检测到边缘的地方时为1其他的为0
handles.img=edge(handles.img,'sobel');%sobel算子边缘检测
axes(handles.axes2);
cla;% 清除当前坐标系
imshow(handles.img);
guidata(hObject,handles);

% Prewitt算子
function Prewitt_Callback(hObject, eventdata, handles)
mysize=size(handles.img);
if numel(mysize)>2
    handles.img=rgb2gray(handles.img);%灰度处理
end
%edge,函数在检测到边缘的地方时为1其他的为0
handles.img=edge(handles.img,'prewitt');%Prewitt算子边缘检测
axes(handles.axes2);
cla;% 清除当前坐标系
imshow(handles.img);
guidata(hObject,handles);

% log算子
function Log_Callback(hObject, eventdata, handles)
mysize=size(handles.img);
if numel(mysize)>2
    handles.img=rgb2gray(handles.img);%灰度处理
end
%edge,函数在检测到边缘的地方时为1其他的为0
handles.img=edge(handles.img,'log');%log算子边缘检测
axes(handles.axes2);
cla;% 清除当前坐标系
imshow(handles.img);
guidata(hObject,handles);

% -----------------------设置-----------------------------------------
% 左右翻转
function Flip_LeftRight_Callback(hObject, eventdata, handles)
handles.img=fliplr(handles.img);%左右翻转
axes(handles.axes2);
cla;
imshow(handles.img);
guidata(hObject,handles);

% 上下翻转
function Flip_UpDown_Callback(hObject, eventdata, handles)
handles.img=flipud(handles.img);%上下翻转
axes(handles.axes2);
cla;
imshow(handles.img);
guidata(hObject,handles);


% 灰度处理
function Gray_Callback(hObject, eventdata, handles)
% handles.img = rgb2gray(handles.img);
handles.img = im2gray(handles.img);
axes(handles.axes2);
cla;
imshow(handles.img);
guidata(hObject,handles);
% -----------------------菜单-----------------------------------------

% 滤波
function Filtering_Callback(hObject, eventdata, handles)
% hObject    handle to Filtering (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% 撤销
function Revoke_Callback(hObject, eventdata, handles)
% hObject    handle to Revoke (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% 还原
function Retore_Callback(hObject, eventdata, handles)
% hObject    handle to Retore (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% -----------------------滑动条-----------------------------------------
% 图像旋转
function myRotate_Callback(hObject, eventdata, handles)
% hObject    handle to myRotate (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'Value') returns position of slider
%        get(hObject,'Min') and get(hObject,'Max') to determine range of slider
rrv=(get(hObject,'Value'));
handles.rot=handles.img;
handles.rot=imrotate(handles.rot,rrv);
axes(handles.axes2); cla; imshow(handles.rot);
guidata(hObject,handles)

% --- Executes during object creation, after setting all properties.
function myRotate_CreateFcn(hObject, eventdata, handles)
% hObject    handle to myRotate (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor',[.9 .9 .9]);
end


% --- Executes on slider movement.
function myColorR_Callback(hObject, eventdata, handles)
% hObject    handle to myColorR (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'Value') returns position of slider
%        get(hObject,'Min') and get(hObject,'Max') to determine range of slider
x=get(hObject,'Value');
r=handles.img(:,:,1);
g=handles.img(:,:,2);
b=handles.img(:,:,3);
r1=r+x; 
rcon=cat(3,r1,g,b);
axes(handles.axes2); 
cla; 
imshow(rcon)
handles.img=rcon;

% --- Executes during object creation, after setting all properties.
function myColorR_CreateFcn(hObject, eventdata, handles)
% hObject    handle to myColorR (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor',[.9 .9 .9]);
end


% --- Executes on slider movement.
function myColorG_Callback(hObject, eventdata, handles)
% hObject    handle to myColorG (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'Value') returns position of slider
%        get(hObject,'Min') and get(hObject,'Max') to determine range of slider
x=get(hObject,'Value');
r=handles.img(:,:,1);
g=handles.img(:,:,2); b=handles.img(:,:,3);
g1=g+x; gcon=cat(3,r,g1,b);
axes(handles.axes2); cla; imshow(gcon)
handles.img=gcon;

% --- Executes during object creation, after setting all properties.
function myColorG_CreateFcn(hObject, eventdata, handles)
% hObject    handle to myColorG (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor',[.9 .9 .9]);
end


% --- Executes on slider movement.
function myColorB_Callback(hObject, eventdata, handles)
% hObject    handle to myColorB (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'Value') returns position of slider
%        get(hObject,'Min') and get(hObject,'Max') to determine range of slider
x=get(hObject,'Value');
r=handles.img(:,:,1);
g=handles.img(:,:,2); b=handles.img(:,:,3);
b1=b+x; bcon=cat(3,r,g,b1);
axes(handles.axes2); cla; imshow(bcon)
handles.img=bcon;

% --- Executes during object creation, after setting all properties.
function myColorB_CreateFcn(hObject, eventdata, handles)
% hObject    handle to myColorB (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor',[.9 .9 .9]);
end

% 亮度
% --- Executes on slider movement.
function myBrightness_Callback(hObject, eventdata, handles)
% hObject    handle to myBrightness (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'Value') returns position of slider
%        get(hObject,'Min') and get(hObject,'Max') to determine range of slider
x=get(hObject,'Value');
img=handles.img;
img=img+x;
axes(handles.axes2); cla; imshow(img)
handles.img=img;

% --- Executes during object creation, after setting all properties.
function myBrightness_CreateFcn(hObject, eventdata, handles)
% hObject    handle to myBrightness (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor',[.9 .9 .9]);
end







% -----------------------空域滤波与频域滤波-----------------------------------------

% 理想低通滤波
% --- Executes on button press in F_LowPassFiltering.
function F_LowPassFiltering_Callback(hObject, eventdata, handles)
mysize=size(handles.img);
if numel(mysize)>2
    handles.img = rgb2gray(handles.img);
end
I=handles.img;
I=im2double(I);
M=2*size(I,1);
N=2*size(I,2);
u=-M/2:(M/2-1);
v=-N/2:(N/2-1);
[U,V]=meshgrid(u,v);
D=sqrt(U.^2+V.^2);
D0=80;
H=double(D<=D0);
J=fftshift(fft2(I,size(H,1),size(H,2)));
K=J.*H;
L=ifft2(ifftshift(K));
L=L(1:size(I,1),1:size(I,2));
handles.img=L;

axes(handles.axes2); cla; imshow(handles.img);
guidata(hObject,handles);

% 巴特沃斯高通滤波
% --- Executes on button press in F_HighPassFiltering.
function F_HighPassFiltering_Callback(hObject, eventdata, handles)
mysize=size(handles.img);
if numel(mysize)>2
    handles.img = rgb2gray(handles.img);
end
I=handles.img;
I=im2double(I);
M=2*size(I,1);%滤波器行数
N=2*size(I,2);%滤波器列数
u=-M/2:(M/2-1);
v=-N/2:(N/2-1);
[U,V]=meshgrid(u,v);
D=sqrt(U.^2+V.^2);
D0=30;%截止频率
n=6;%巴特沃斯滤波器阶数
H=1./(1+(D0./D).^(2*n));
J=fftshift(fft2(I,size(H,1),size(H,2)));
K=J.*H;
L=ifft2(ifftshift(K));
L=L(1:size(I,1),1:size(I,2));
handles.img=L;

axes(handles.axes2); cla; imshow(handles.img);
guidata(hObject,handles);

% 均值滤波
% --- Executes on button press in F_MeanFiltering.
function F_MeanFiltering_Callback(hObject, eventdata, handles)
h=fspecial('average');
handles.img=imfilter(handles.img,h,'replicate');
axes(handles.axes2); cla; imshow(handles.img)
guidata(hObject,handles);

% 高斯滤波
% --- Executes on button press in F_GaussianFiltering.
function F_GaussianFiltering_Callback(hObject, eventdata, handles)
hsize=[8 8]; sigma=1.7;
h=fspecial('gaussian',hsize,sigma);
handles.img=imfilter(handles.img,h,'replicate');
axes(handles.axes2); cla; imshow(handles.img);
guidata(hObject,handles);

% 中值滤波
% --- Executes on button press in F_MedianFiltering.
function F_MedianFiltering_Callback(hObject, eventdata, handles)
r=medfilt2(handles.img(:,:,1));
g=medfilt2(handles.img(:,:,2));
b=medfilt2(handles.img(:,:,3)); 
handles.img=cat(3,r,g,b);
axes(handles.axes2); cla; imshow(handles.img);
guidata(hObject,handles);
